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ORCIDRichard Zhang 0001
Person information
- affiliation: Adobe Research, San Francisco, CA, USA
- affiliation (former): University of California, Berkeley, USA
Other persons with the same name
- Richard Zhang — disambiguation page
- Hao (Richard) Zhang
![[0000-0003-1991-119X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-1991-119X")
(aka: Hao Zhang 0002, Richard Zhang 0002) — Simon Fraser University, Burnaby, Canada - Qiuyi Zhang 0001 (aka: Qiuyi (Richard) Zhang, Richard Zhang 0003) — Google Brain, Pittsburgh, PA, USA (and 2 more)
- Richard Zhang 0004 — University of Pennsylvania, USA
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2020 – today
- 2025
[c53]Netanel Tamir, Shir Amir, Ranel Itzhaky, Noam Atia, Shobhita Sundaram, Stephanie Fu, Ron Sokolovsky, Phillip Isola, Tali Dekel, Richard Zhang, Miriam Farber:
What Makes for a Good Stereoscopic Image? CVPR Workshops 2025: 261-272- [c52]Yiran Xu, Taesung Park, Richard Zhang, Yang Zhou, Eli Shechtman, Feng Liu, Jia-Bin Huang, Difan Liu:
VideoGigaGAN: Towards Detail-rich Video Super-Resolution. CVPR 2025: 2139-2149 - [c51]Tianwei Yin, Qiang Zhang, Richard Zhang, William T. Freeman, Frédo Durand, Eli Shechtman, Xun Huang:
From Slow Bidirectional to Fast Autoregressive Video Diffusion Models. CVPR 2025: 22963-22974 - [i64]Rohit Gandikota, Zongze Wu, Richard Zhang, David Bau, Eli Shechtman, Nicholas I. Kolkin:
SliderSpace: Decomposing the Visual Capabilities of Diffusion Models. CoRR abs/2502.01639 (2025) - [i63]Ryan Po, Yotam Nitzan, Richard Zhang, Berlin Chen, Tri Dao, Eli Shechtman, Gordon Wetzstein, Xun Huang:
Long-Context State-Space Video World Models. CoRR abs/2505.20171 (2025) - [i62]Grace Su, Sheng-Yu Wang, Aaron Hertzmann, Eli Shechtman, Jun-Yan Zhu, Richard Zhang:
Identifying Prompted Artist Names from Generated Images. CoRR abs/2507.18633 (2025) - [i61]Nupur Kumari, Sheng-Yu Wang, Nanxuan Zhao, Yotam Nitzan, Yuheng Li, Krishna Kumar Singh, Richard Zhang, Eli Shechtman, Jun-Yan Zhu, Xun Huang:
Learning an Image Editing Model without Image Editing Pairs. CoRR abs/2510.14978 (2025) - [i60]Joonghyuk Shin, Zhengqi Li, Richard Zhang, Jun-Yan Zhu, Jaesik Park, Eli Schechtman, Xun Huang:
MotionStream: Real-Time Video Generation with Interactive Motion Controls. CoRR abs/2511.01266 (2025) - [i59]Sheng-Yu Wang, Aaron Hertzmann, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu:
Fast Data Attribution for Text-to-Image Models. CoRR abs/2511.10721 (2025) - [i58]Jaskirat Singh, Xingjian Leng, Zongze Wu, Liang Zheng, Richard Zhang, Eli Shechtman, Saining Xie:
What matters for Representation Alignment: Global Information or Spatial Structure? CoRR abs/2512.10794 (2025) - [i57]Sicheng Mo, Thao Nguyen, Richard Zhang, Nick Kolkin, Siddharth Srinivasan Iyer, Eli Shechtman, Krishna Kumar Singh, Yong Jae Lee, Bolei Zhou, Yuheng Li:
Group Diffusion: Enhancing Image Generation by Unlocking Cross-Sample Collaboration. CoRR abs/2512.10954 (2025) - [i56]Xin Yu, Xiaojuan Qi, Zhengqi Li, Kai Zhang, Richard Zhang, Zhe Lin, Eli Shechtman, Tianyu Wang, Yotam Nitzan:
Self-Evaluation Unlocks Any-Step Text-to-Image Generation. CoRR abs/2512.22374 (2025) - 2024
- [c50]Joanna Materzynska, Josef Sivic, Eli Shechtman, Antonio Torralba, Richard Zhang, Bryan C. Russell:
NewMove: Customizing Text-to-Video Models with Novel Motions. ACCV (5) 2024: 113-130 - [c49]Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park:
One-Step Diffusion with Distribution Matching Distillation. CVPR 2024: 6613-6623 - [c48]Yinbo Chen, Oliver Wang, Richard Zhang, Eli Shechtman, Xiaolong Wang, Michaël Gharbi:
Image Neural Field Diffusion Models. CVPR 2024: 8007-8017 - [c47]Cusuh Ham, Matthew Fisher, James Hays, Nicholas I. Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz:
Personalized Residuals for Concept-Driven Text-to-Image Generation. CVPR 2024: 8186-8195 - [c46]Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park:
Editable Image Elements for Controllable Synthesis. ECCV (2) 2024: 39-56 - [c45]Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman, Daniel Cohen-Or, Taesung Park, Michaël Gharbi:
Lazy Diffusion Transformer for Interactive Image Editing. ECCV (24) 2024: 55-72 - [c44]Zongze Wu, Nicholas I. Kolkin, Jonathan Brandt, Richard Zhang, Eli Shechtman:
TurboEdit: Instant Text-Based Image Editing. ECCV (80) 2024: 365-381 - [c43]Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park:
Distilling Diffusion Models Into Conditional GANs. ECCV (28) 2024: 428-447 - [c42]Sheng-Yu Wang, Aaron Hertzmann, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang:
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images. NeurIPS 2024 - [c41]Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Frédo Durand, Bill Freeman:
Improved Distribution Matching Distillation for Fast Image Synthesis. NeurIPS 2024 - [c40]Nupur Kumari, Grace Su, Richard Zhang, Taesung Park, Eli Shechtman, Jun-Yan Zhu:
Customizing Text-to-Image Diffusion with Object Viewpoint Control. SIGGRAPH Asia 2024: 7:1-7:13 - [i55]Xiaojuan Wang, Taesung Park, Yang Zhou, Eli Shechtman, Richard Zhang:
Jump Cut Smoothing for Talking Heads. CoRR abs/2401.04718 (2024) - [i54]Nupur Kumari, Grace Su, Richard Zhang, Taesung Park, Eli Shechtman, Jun-Yan Zhu:
Customizing Text-to-Image Diffusion with Camera Viewpoint Control. CoRR abs/2404.12333 (2024) - [i53]Yotam Nitzan, Zongze Wu, Richard Zhang, Eli Shechtman, Daniel Cohen-Or, Taesung Park, Michaël Gharbi:
Lazy Diffusion Transformer for Interactive Image Editing. CoRR abs/2404.12382 (2024) - [i52]Yiran Xu, Taesung Park, Richard Zhang, Yang Zhou, Eli Shechtman, Feng Liu, Jia-Bin Huang, Difan Liu:
VideoGigaGAN: Towards Detail-rich Video Super-Resolution. CoRR abs/2404.12388 (2024) - [i51]Jiteng Mu, Michaël Gharbi, Richard Zhang, Eli Shechtman, Nuno Vasconcelos, Xiaolong Wang, Taesung Park:
Editable Image Elements for Controllable Synthesis. CoRR abs/2404.16029 (2024) - [i50]Minguk Kang, Richard Zhang, Connelly Barnes, Sylvain Paris, Suha Kwak, Jaesik Park, Eli Shechtman, Jun-Yan Zhu, Taesung Park:
Distilling Diffusion Models into Conditional GANs. CoRR abs/2405.05967 (2024) - [i49]Cusuh Ham, Matthew Fisher, James Hays, Nicholas I. Kolkin, Yuchen Liu, Richard Zhang, Tobias Hinz:
Personalized Residuals for Concept-Driven Text-to-Image Generation. CoRR abs/2405.12978 (2024) - [i48]Tianwei Yin, Michaël Gharbi, Taesung Park, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman:
Improved Distribution Matching Distillation for Fast Image Synthesis. CoRR abs/2405.14867 (2024) - [i47]Yinbo Chen, Oliver Wang, Richard Zhang, Eli Shechtman, Xiaolong Wang, Michaël Gharbi:
Image Neural Field Diffusion Models. CoRR abs/2406.07480 (2024) - [i46]Sheng-Yu Wang, Aaron Hertzmann, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang:
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images. CoRR abs/2406.09408 (2024) - [i45]Zongze Wu, Nicholas I. Kolkin, Jonathan Brandt, Richard Zhang, Eli Shechtman:
TurboEdit: Instant text-based image editing. CoRR abs/2408.08332 (2024) - [i44]Tianwei Yin, Qiang Zhang, Richard Zhang, William T. Freeman, Frédo Durand, Eli Shechtman, Xun Huang:
From Slow Bidirectional to Fast Causal Video Generators. CoRR abs/2412.07772 (2024) - [i43]Netanel Y. Tamir, Shir Amir, Ranel Itzhaky, Noam Atia, Shobhita Sundaram, Stephanie Fu, Ron Sokolovsky, Phillip Isola, Tali Dekel, Richard Zhang, Miriam Farber:
What Makes for a Good Stereoscopic Image? CoRR abs/2412.21127 (2024) - 2023
- [j4]Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola:
The Low-Rank Simplicity Bias in Deep Networks. Trans. Mach. Learn. Res. 2023 (2023) - [c39]Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu:
Multi-Concept Customization of Text-to-Image Diffusion. CVPR 2023: 1931-1941 - [c38]Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park:
Scaling up GANs for Text-to-Image Synthesis. CVPR 2023: 10124-10134 - [c37]Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman:
Domain Expansion of Image Generators. CVPR 2023: 15933-15942 - [c36]Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang:
Evaluating Data Attribution for Text-to-Image Models. ICCV 2023: 7158-7169 - [c35]Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu:
Ablating Concepts in Text-to-Image Diffusion Models. ICCV 2023: 22634-22645 - [c34]David C. Epstein, Ishan Jain, Oliver Wang, Richard Zhang:
Online Detection of AI-Generated Images. ICCV (Workshops) 2023: 382-392 - [c33]Stephanie Fu, Netanel Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang, Tali Dekel, Phillip Isola:
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data. NeurIPS 2023 - [c32]Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu:
Zero-shot Image-to-Image Translation. SIGGRAPH (Conference Paper Track) 2023: 11:1-11:11 - [i42]Yotam Nitzan, Michaël Gharbi, Richard Zhang, Taesung Park, Jun-Yan Zhu, Daniel Cohen-Or, Eli Shechtman:
Domain Expansion of Image Generators. CoRR abs/2301.05225 (2023) - [i41]Gaurav Parmar, Krishna Kumar Singh, Richard Zhang, Yijun Li, Jingwan Lu, Jun-Yan Zhu:
Zero-shot Image-to-Image Translation. CoRR abs/2302.03027 (2023) - [i40]Minguk Kang, Jun-Yan Zhu, Richard Zhang, Jaesik Park, Eli Shechtman, Sylvain Paris, Taesung Park:
Scaling up GANs for Text-to-Image Synthesis. CoRR abs/2303.05511 (2023) - [i39]Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu:
Ablating Concepts in Text-to-Image Diffusion Models. CoRR abs/2303.13516 (2023) - [i38]Stephanie Fu, Netanel Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang, Tali Dekel, Phillip Isola:
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data. CoRR abs/2306.09344 (2023) - [i37]Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang:
Evaluating Data Attribution for Text-to-Image Models. CoRR abs/2306.09345 (2023) - [i36]David C. Epstein, Ishan Jain, Oliver Wang, Richard Zhang:
Online Detection of AI-Generated Images. CoRR abs/2310.15150 (2023) - [i35]Tianwei Yin, Michaël Gharbi, Richard Zhang, Eli Shechtman, Frédo Durand, William T. Freeman, Taesung Park:
One-step Diffusion with Distribution Matching Distillation. CoRR abs/2311.18828 (2023) - [i34]Joanna Materzynska, Josef Sivic, Eli Shechtman, Antonio Torralba, Richard Zhang, Bryan C. Russell:
Customizing Motion in Text-to-Video Diffusion Models. CoRR abs/2312.04966 (2023) - 2022
- [j3]Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis:
ASSET: autoregressive semantic scene editing with transformers at high resolutions. ACM Trans. Graph. 41(4): 74:1-74:12 (2022) - [c31]Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu:
Ensembling Off-the-shelf Models for GAN Training. CVPR 2022: 10641-10652 - [c30]Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh:
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. CVPR 2022: 11389-11399 - [c29]Gaurav Parmar, Richard Zhang, Jun-Yan Zhu:
On Aliased Resizing and Surprising Subtleties in GAN Evaluation. CVPR 2022: 11400-11410 - [c28]William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman:
GAN-Supervised Dense Visual Alignment. CVPR 2022: 13460-13471 - [c27]Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, Sun-Yuan Kung:
3D-FM GAN: Towards 3D-Controllable Face Manipulation. ECCV (15) 2022: 107-125 - [c26]Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang:
Any-Resolution Training for High-Resolution Image Synthesis. ECCV (16) 2022: 170-188 - [c25]Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros:
BlobGAN: Spatially Disentangled Scene Representations. ECCV (15) 2022: 616-635 - [i33]Lucy Chai, Michaël Gharbi, Eli Shechtman, Phillip Isola, Richard Zhang:
Any-resolution Training for High-resolution Image Synthesis. CoRR abs/2204.07156 (2022) - [i32]Dave Epstein, Taesung Park, Richard Zhang, Eli Shechtman, Alexei A. Efros:
BlobGAN: Spatially Disentangled Scene Representations. CoRR abs/2205.02837 (2022) - [i31]Difan Liu, Sandesh Shetty, Tobias Hinz, Matthew Fisher, Richard Zhang, Taesung Park, Evangelos Kalogerakis:
ASSET: Autoregressive Semantic Scene Editing with Transformers at High Resolutions. CoRR abs/2205.12231 (2022) - [i30]Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh:
Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. CoRR abs/2206.08357 (2022) - [i29]Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Richard Zhang, Sun-Yuan Kung:
3D-FM GAN: Towards 3D-Controllable Face Manipulation. CoRR abs/2208.11257 (2022) - [i28]Nupur Kumari, Bingliang Zhang, Richard Zhang, Eli Shechtman, Jun-Yan Zhu:
Multi-Concept Customization of Text-to-Image Diffusion. CoRR abs/2212.04488 (2022) - 2021
- [c24]Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang:
Few-Shot Image Generation via Cross-Domain Correspondence. CVPR 2021: 10743-10752 - [c23]Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli:
Spatially-Adaptive Pixelwise Networks for Fast Image Translation. CVPR 2021: 14882-14891 - [c22]Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu:
Anycost GANs for Interactive Image Synthesis and Editing. CVPR 2021: 14986-14996 - [c21]Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang:
Ensembling With Deep Generative Views. CVPR 2021: 14997-15007 - [c20]Rawan Alghofaili, Matthew Fisher, Richard Zhang, Michal Lukác, Lap-Fai Yu:
Exploring Sketch-based Character Design Guided by Automatic Colorization. Graphics Interface 2021: 56-67 - [c19]Pranay Manocha, Zeyu Jin, Richard Zhang, Adam Finkelstein:
CDPAM: Contrastive Learning for Perceptual Audio Similarity. ICASSP 2021: 196-200 - [c18]Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell:
Editing Conditional Radiance Fields. ICCV 2021: 5753-5763 - [c17]Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang:
Contrastive Feature Loss for Image Prediction. ICCVW 2021: 1934-1943 - [i27]Pranay Manocha, Zeyu Jin, Richard Zhang, Adam Finkelstein:
CDPAM: Contrastive learning for perceptual audio similarity. CoRR abs/2102.05109 (2021) - [i26]Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu:
Anycost GANs for Interactive Image Synthesis and Editing. CoRR abs/2103.03243 (2021) - [i25]Minyoung Huh, Hossein Mobahi, Richard Zhang, Brian Cheung, Pulkit Agrawal, Phillip Isola:
The Low-Rank Simplicity Bias in Deep Networks. CoRR abs/2103.10427 (2021) - [i24]Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang:
Few-shot Image Generation via Cross-domain Correspondence. CoRR abs/2104.06820 (2021) - [i23]Gaurav Parmar, Richard Zhang, Jun-Yan Zhu:
On Buggy Resizing Libraries and Surprising Subtleties in FID Calculation. CoRR abs/2104.11222 (2021) - [i22]Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang:
Ensembling with Deep Generative Views. CoRR abs/2104.14551 (2021) - [i21]Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell:
Editing Conditional Radiance Fields. CoRR abs/2105.06466 (2021) - [i20]Alex Andonian, Taesung Park, Bryan Russell, Phillip Isola, Jun-Yan Zhu, Richard Zhang:
Contrastive Feature Loss for Image Prediction. CoRR abs/2111.06934 (2021) - [i19]William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman:
GAN-Supervised Dense Visual Alignment. CoRR abs/2112.05143 (2021) - [i18]Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu:
Ensembling Off-the-shelf Models for GAN Training. CoRR abs/2112.09130 (2021) - 2020
- [j2]Noa Fish, Richard Zhang, Lilach Perry, Daniel Cohen-Or, Eli Shechtman, Connelly Barnes:
Image Morphing With Perceptual Constraints and STN Alignment. Comput. Graph. Forum 39(6): 303-313 (2020) - [c16]Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon:
Deep Parametric Shape Predictions Using Distance Fields. CVPR 2020: 558-567 - [c15]Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros:
CNN-Generated Images Are Surprisingly Easy to Spot... for Now. CVPR 2020: 8692-8701 - [c14]Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann:
Transforming and Projecting Images into Class-Conditional Generative Networks. ECCV (2) 2020: 17-34 - [c13]Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu:
Contrastive Learning for Unpaired Image-to-Image Translation. ECCV (9) 2020: 319-345 - [c12]Pranay Manocha, Adam Finkelstein, Richard Zhang, Nicholas J. Bryan, Gautham J. Mysore, Zeyu Jin:
A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences. INTERSPEECH 2020: 2852-2856 - [c11]Yijun Li, Richard Zhang, Jingwan Lu, Eli Shechtman:
Few-shot Image Generation with Elastic Weight Consolidation. NeurIPS 2020 - [c10]Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang:
Swapping Autoencoder for Deep Image Manipulation. NeurIPS 2020 - [i17]Pranay Manocha, Adam Finkelstein, Zeyu Jin, Nicholas J. Bryan, Richard Zhang, Gautham J. Mysore:
A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences. CoRR abs/2001.04460 (2020) - [i16]Noa Fish, Richard Zhang, Lilach Perry, Daniel Cohen-Or, Eli Shechtman, Connelly Barnes:
Image Morphing with Perceptual Constraints and STN Alignment. CoRR abs/2004.14071 (2020) - [i15]Minyoung Huh, Richard Zhang, Jun-Yan Zhu, Sylvain Paris, Aaron Hertzmann:
Transforming and Projecting Images into Class-conditional Generative Networks. CoRR abs/2005.01703 (2020) - [i14]Taesung Park, Jun-Yan Zhu, Oliver Wang, Jingwan Lu, Eli Shechtman, Alexei A. Efros, Richard Zhang:
Swapping Autoencoder for Deep Image Manipulation. CoRR abs/2007.00653 (2020) - [i13]Taesung Park, Alexei A. Efros, Richard Zhang, Jun-Yan Zhu:
Contrastive Learning for Unpaired Image-to-Image Translation. CoRR abs/2007.15651 (2020) - [i12]Yijun Li, Richard Zhang, Jingwan Lu, Eli Shechtman:
Few-shot Image Generation with Elastic Weight Consolidation. CoRR abs/2012.02780 (2020) - [i11]Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli:
Spatially-Adaptive Pixelwise Networks for Fast Image Translation. CoRR abs/2012.02992 (2020)
2010 – 2019
- 2019
- [c9]Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman:
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation. ICCV 2019: 1171-1180 - [c8]Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros:
Detecting Photoshopped Faces by Scripting Photoshop. ICCV 2019: 10071-10080 - [c7]Richard Zhang:
Making Convolutional Networks Shift-Invariant Again. ICML 2019: 7324-7334 - [i10]Dmitriy Smirnov, Matthew Fisher, Vladimir G. Kim, Richard Zhang, Justin Solomon:
Deep Parametric Shape Predictions using Distance Fields. CoRR abs/1904.08921 (2019) - [i9]Richard Zhang:
Making Convolutional Networks Shift-Invariant Again. CoRR abs/1904.11486 (2019) - [i8]Sheng-Yu Wang, Oliver Wang, Andrew Owens, Richard Zhang, Alexei A. Efros:
Detecting Photoshopped Faces by Scripting Photoshop. CoRR abs/1906.05856 (2019) - [i7]Arnab Ghosh, Richard Zhang, Puneet K. Dokania, Oliver Wang, Alexei A. Efros, Philip H. S. Torr, Eli Shechtman:
Interactive Sketch & Fill: Multiclass Sketch-to-Image Translation. CoRR abs/1909.11081 (2019) - [i6]Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros:
CNN-generated images are surprisingly easy to spot... for now. CoRR abs/1912.11035 (2019) - 2018
- [b1]Richard Zhang:
Image Synthesis for Self-Supervised Visual Representation Learning. University of California, Berkeley, USA, 2018 - [c6]Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, Oliver Wang:
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric. CVPR 2018: 586-595 - [i5]Richard Zhang, Phillip Isola, Alexei A. Efros, Eli Shechtman, Oliver Wang:
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric. CoRR abs/1801.03924 (2018) - 2017
- [j1]Richard Zhang, Jun-Yan Zhu, Phillip Isola, Xinyang Geng, Angela S. Lin, Tianhe Yu, Alexei A. Efros:
Real-time user-guided image colorization with learned deep priors. ACM Trans. Graph. 36(4): 119:1-119:11 (2017) - [c5]Richard Zhang, Phillip Isola, Alexei A. Efros:
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. CVPR 2017: 645-654 - [c4]Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman:
Toward Multimodal Image-to-Image Translation. NIPS 2017: 465-476 - [i4]Richard Zhang, Jun-Yan Zhu, Phillip Isola, Xinyang Geng, Angela S. Lin, Tianhe Yu, Alexei A. Efros:
Real-Time User-Guided Image Colorization with Learned Deep Priors. CoRR abs/1705.02999 (2017) - [i3]Jun-Yan Zhu, Richard Zhang, Deepak Pathak, Trevor Darrell, Alexei A. Efros, Oliver Wang, Eli Shechtman:
Toward Multimodal Image-to-Image Translation. CoRR abs/1711.11586 (2017) - 2016
- [c3]Richard Zhang, Phillip Isola, Alexei A. Efros:
Colorful Image Colorization. ECCV (3) 2016: 649-666 - [i2]Richard Zhang, Phillip Isola, Alexei A. Efros:
Colorful Image Colorization. CoRR abs/1603.08511 (2016) - [i1]Richard Zhang, Phillip Isola, Alexei A. Efros:
Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. CoRR abs/1611.09842 (2016) - 2015
- [c2]Richard Zhang, Stefan A. Candra, Kai Vetter, Avideh Zakhor:
Sensor fusion for semantic segmentation of urban scenes. ICRA 2015: 1850-1857 - 2014
- [c1]Richard Zhang, Avideh Zakhor:
Automatic identification of window regions on indoor point clouds using LiDAR and cameras. WACV 2014: 107-114
Coauthor Index
[c52] [c51] [i64] [i63] [i62] [i61] [i58] [i57] [i56] [c50] [c49] [c48] [c46] [c45] [c44] [c43] [c41] [c40] [i55] [i54] [i53] [i52] [i51] [i50] [i48] [i47] [i45] [i44] [c39] [c38] [c37] [c35] [i42] [i40] [i39] [i35] [i34] [c31] [c28] [c26] [c25] [i33] [i32] [i28] [c24] [c23] [c21] [i24] [i22] [i19] [i18] [j2] [c11] [c10] [i16] [i14] [i12] [i11] [c9] [i7] [c6] [i5] [c4] [i3]
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Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-01-28 04:57 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
